Job Description:

- Build and maintain scalable data integration and transformation pipelines using AWS Glue and Spark.

- Develop and enhance ETL pipelines to create business-ready datasets.

- Design, develop, and maintain dbt models on AWS Redshift.

- Optimize data models, SQL queries, and pipeline performance.

- Develop modular and scalable data models with testing, documentation, and data quality checks.

- Monitor data pipelines, troubleshoot failures, and resolve performance bottlenecks.

- Build and maintain CI/CD pipelines using Git Hub Actions for automated testing, deployments, and setting promotions.

- Manage version control, branching strategies, pull requests, and release processes.

- Develop and maintain ETL workflows using Informatica Power Center and Informatica Cloud.

- Design and manage data models, data warehouses, and enterprise data integration solutions.

- Perform data quality validation, freshness checks, and schema evolution management.

- Ensure compliance with data governance, security standards, and data management best practices.

- Support consumer applications in accessing and utilizing platform data efficiently.

📌 Data analysis (India)
🏢 Acme Services Private
📍 India